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On the LIMES approach to spectral analysis of irregularly sampled data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2012 (English)In: Electronics Letters, ISSN 0013-5194, E-ISSN 1350-911X, Vol. 48, no 4, 218-219 p.Article in journal (Refereed) Published
Abstract [en]

LIMES (LIkelihood-based Method for Estimation of Spectra) is a recently introduced non-parametric approach for the spectral analysis of regularly or irregularly sampled data. While LIMES is a statistically powerful approach (owing to its maximum-likelihood character), it is computationally rather intensive for large data sets; additionally, the variance of its estimation errors increases somewhat fast as the size of the data set decreases. Provided are simple practical solutions to these two problems of LIMES.

Place, publisher, year, edition, pages
2012. Vol. 48, no 4, 218-219 p.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-171424DOI: 10.1049/el.2011.3247ISI: 000300605700017OAI: oai:DiVA.org:uu-171424DiVA: diva2:510930
Available from: 2012-03-19 Created: 2012-03-19 Last updated: 2017-12-07Bibliographically approved

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Stoica, PeterBabu, Prabhu

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